CrawlBot AI vs. Forethought AI Assistant

Forethought focuses on support automation and case deflection. CrawlBot is built for multi-tenant, website-grounded assistants with transparent retrieval and strict security. Here is how to evaluate them side by side.

Comparison table

Dimension	CrawlBot AI	Forethought
Grounding	Hybrid retrieval with citations and refusal policy	Support knowledge base and intent models
Freshness	Sitemap-first crawling, IndexNow, incremental recrawl	Sync based on configured sources
Security	Widget CSP, origin checks, formal threat model, SSO ready	Solid enterprise posture, less focus on embed CSP
Analytics	Per-embed impressions, opens, chats, messages, fallback reasons	Conversation and deflection analytics
Multi-tenant	Agency friendly white label and quotas per tenant	Primarily single brand deployments

Where CrawlBot is stronger

• Marketing and docs pages need instant, cited answers to reduce bounce and speed qualification.
• Agencies need isolated embeds, quotas, and branding for each client.
• Security teams want postMessage origin checks, strict CSP, and SRI for widgets.
• Ops teams want visibility into retrieval scores and fallbacks to cut hallucinations quickly.

Where Forethought remains valuable

• Deep CRM and case routing integrations for authenticated customers.
• Established agent workflows tied to ticketing systems.
• Use cases where intent classification and macros are already tuned.

Practical rollout

1. Deploy CrawlBot on public pages; keep Forethought for signed-in support flows.
2. Set triggers to hand off account-specific questions to Forethought.
3. Track containment, latency, and outdated feedback; adjust CrawlBot crawl cadence or thresholds based on metrics.
4. Share high-volume unanswered intents between both systems to improve coverage.

Grounded answers with clear citations build trust on the open web. Ticket-first automation keeps support teams efficient. Using both where they fit best delivers faster responses and cleaner metrics.